Abstract The original Human Connectome Project yielded a rich data set on structural and
functional connectivity in a large sample of healthy young adults using improved methods of …

Abstract Multi-atlas segmentation (MAS), first introduced and popularized by the pioneering
work of Rohlfing, et al.(2004), Klein, et al.(2005), and Heckemann, et al.(2006), is becoming …

Automated analysis of MRI data of the subregions of the hippocampus requires
computational atlases built at a higher resolution than those that are typically used in current …

We evaluate a fully automatic technique for labeling hippocampal subfields and cortical
subregions in the medial temporal lobe in in vivo 3 Tesla MRI. The method performs …

Clinical annotations, such as voxel-wise binary or probabilistic tissue segmentations,
structural parcellations, pathological regions-of-interest and anatomical landmarks are key …

Multi-atlas segmentation is an effective approach for automatically labeling objects of
interest in biomedical images. In this approach, multiple expert-segmented example images …

Hippocampal atrophy, as evidenced using magnetic resonance imaging (MRI), is one of the
most validated, easily accessible and widely used biomarkers of Alzheimer's disease (AD) …

Childhood maltreatment or abuse is a major risk factor for mood, anxiety, substance abuse,
psychotic, and personality disorders, and it is associated with reduced adult hippocampal …

Attenuation correction is an essential requirement for quantification of positron emission
tomography (PET) data. In PET/CT acquisition systems, attenuation maps are derived from …

Introduction Advances in image segmentation of magnetic resonance images (MRI) have
demonstrated that multi-atlas approaches improve segmentation over regular atlas-based …